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15th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2024

作者： Liu, Yuanshuai Li, Wei Chao, Tao National Key Laboratory of Modeling and Simulation for Complex Systems Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781643685892

This paper addresses the interception mission of hypersonic vehicles by weapon defense systems. A simulation model of the attack-defense confrontation process is constructed based on the "F2T2EA" kill chain model. Building upon this framework, a novel method combining TOPSIS, the entropy weight method, and fuzzy theory is proposed, guided by the concept of kill chain closure, to evaluate the interception effectiveness of defense systems against boost-glide hypersonic vehicles. The model's effectiveness is verified through practical examples, with consistent conclusions obtained through traditional grey correlation analysis, thus confirming the feasibility and reliability of both the model and the evaluation methodology. The results of this research offer reliable technical support for the design and combat application of defense systems and provide a reference for future optimization efforts. © 2025 The Authors.

关键词： boost-glide vehicle grey correlation performance evaluation TOPSIS

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Multi-Targets Visiting Orbit Design Based on Numerical Method

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Guidance,Navigation and Control 2025年第1期05卷 139-148页

作者： Zenan Zhong Zhengxiang Sun Songyan Wang Tao Chao Ming Yang Control and Simulation Center Harbin Institute of Technology National Key Laboratory of Modeling and Simulation for Complex Systems Harbin Institute of Technology Beijing Institute of Space Long March Vehicle

In this paper, for the two/three targets in the circle orbit with the same altitude, a numerical method is presented to design an orbit for a spacecraft to visit multiple targets without maneuvering. First,for the two targets' case, an equation is established by the relationship of the two angles that both are the function of the time, one of the angles is the angle between two targets' geocentric position vectors at two times, and another one is the spacecraft flight angle during the two times. The visit time can be solved by the assumption that one of the visit times is known in the equation, and the orbit element can be transferred from the position and velocity vector determined by the solved visit time. Then, for the three targets' case, the problem is decoupled into two cases of two targets, and there is a public target in each case. Based on the method for two targets, two different orbits can be obtained by determining the visit time of the public target. The difference between two orbits can be expressed by the difference in velocity vectors of the public target at different times. A sampling method is utilized to select two velocity vectors with relatively small differences as initial values, the Newton iteration method is used to obtain visit times with higher accuracy. simulation results illustrate the effectiveness of the orbit design methods.

关键词： Orbit design method multiple targets visit circle orbit non-maneuvering

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Optimal Deployment of Target Localization With Distance-Dependent Noise

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IEEE Internet of Things Journal 2025年

作者： Tian, Junxi Yang, Ming Chao, Tao Harbin Institute of Technology Control and Simulation Center National Key Laboratory of Modeling and Simulation for Complex Systems Harbin150001 China

The cooperative localization of radio-based distance measurement is one of the methods to effectively suppress the nonline of sight (NLOS) ranging errors and as a complement to visual/global navigation satellite system (GNSS) localization for unmanned aerial vehicle (UAV) in GNSS challenging or denied environments due to its motility. Target localization can be regarded as a special case of cooperative localization. Meanwhile, the UAV can be considered as a ranging node when the ranging terminal is rigidly mounted on the UAV. To improve the target localization accuracy, the optimal deployment of anchor UAVs is one of the factors we consider when the noise characteristics are different. In this paper, the range-dependent noise in a real flight environment is considered and modeled separately according to the difference in noise characteristics. Subsequently, based on this correlation model, the Fisher information matrix (FIM) and a cost function derived from the A-optimal criterion are provided. Finally, the optimal deployment conditions and the minimum mean square error (MMSE) can be derived by minimizing the cost function as the objective. Through simulation and localization experiments, the validity of the optimal deployment conditions and the corresponding MMSE are verified. Meanwhile, it is concluded that when the noise is range-dependent, it will not affect the optimal deployment result but will significantly change the value of MMSE. © 2014 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Imp: Highly Capable Large Multimodal Models for Mobile Devices

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IEEE Transactions on Multimedia 2025年 27卷 2961-2974页

作者： Shao, Zhenwei Yu, Zhou Yu, Jun Ouyang, Xuecheng Zheng, Lihao Gai, Zhenbiao Wang, Mingyang Kuang, Zhenzhong Ding, Jiajun Hangzhou Dianzi University Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science Hangzhou310005 China Harbin Institute of Technology Shenzhen Department of Computer Science and Technology Shenzhen China Hangzhou Dianzi University HDU-ITMO Joint Institute Hangzhou310005 China

By harnessing the capabilities of large language models (LLMs), recent large multimodal models (LMMs) have shown remarkable versatility in open-world multimodal understanding. Nevertheless, they are usually parameter-heavy and computation-intensive, thus hindering their applicability in resource-constrained scenarios. To this end, several lightweight LMMs have been proposed successively to maximize the capabilities under constrained scale (e.g., 3B). Despite the encouraging results achieved by these methods, most of them only focus on one or two aspects of the design space, and the key design choices that influence model capability have not yet been thoroughly investigated. In this paper, we conduct a systematic study for lightweight LMMs from the aspects of model architecture, training strategy, and training data. Based on our findings, we obtain Imp - a family of highly capable LMMs at the 2B$\sim$4B scales. Notably, our Imp-3B model steadily outperforms all the existing lightweight LMMs of similar size, and even surpasses the state-of-the-art LMMs at the 13B scale. With low-bit quantization and resolution reduction techniques, our Imp model can be deployed on a Qualcomm Snapdragon 8Gen3 mobile chip with a high inference speed of about 13 tokens/s. © 2025 IEEE.

关键词： Visual languages

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Outlet pressure analysis in an internally pressurized pipeline presenting a leak

Outlet pressure analysis in an internally pressurized pipeli...

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Innovative Research in Applied Science, Engineering and Technology (IRASET),Conference on

作者： Jouary Oumaima Bouabid Badreddine Mighouar Zakaria Ech-Chhibat Moulay El Houssine Zahiri Laidi Laboratory of Modeling and Simulation of Intelligent Industrial Systems Hassan II University of Casablanca ENSET of Mohammedia Mohammadia Morocco

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

Pipelines play an essential role in the transportation of pressurized fluids over long distances, but their performance can be affected by the presence of leaks. This study aims to analyze the effect of leak intensity on the fluid pressure at the pipeline outlet. Using a numerical model, simulations were conducted to study the influence of the position and intensity of the leaks on the overall behavior of the transportation system. The results obtained allow for a better understanding of the mechanisms intervening, as well as proposals for optimizing pipeline maintenance and safety.

关键词： Technological innovation Fluids Pipelines Transportation Numerical models Safety Maintenance Proposals Sustainable development Predictive maintenance

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Enhancing realism in LiDAR scene generation with CSPA-DFN and linear cross-attention via Diffusion Transformer model

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Neural Networks 2025年 189卷 107503页

作者： Ye, Shaoxun Di, Xiaoguang Liao, Ming Li, Ximing Control and Simulation Center Harbin Institute of Technology Harbin150080 China National Key Laboratory of Modeling and Simulation for Complex Systems Harbin150080 China

Point cloud diffusion models have found extensive applications in autonomous driving and robotics. However, there is still a big gap between their generated LiDAR scene samples and real-world data in terms of visual quality. This discrepancy primarily arises from the loss of detailed information during the decoding process from latent space and the lack of guidance from global 3D structural information in the point cloud generation process, leading to distortions and artifacts in LiDAR scene samples. In this paper, we propose a novel LiDAR Diffusion Transformer Model that integrates Channel-Spatial Parallel Attention and Dilation Fusion Network (CSPA-DFN) with a linear cross-attention post-processing module to refine the generated LiDAR scene samples. Specifically, CSPA-DFN is designed to simultaneously emphasize detailed features across different channels and spatial locations in parallel, leveraging multi-scale dilated convolutions and channel grouping to preserve and enhance these detailed features. In order to provide global 3D structural information and balance performance and efficiency, we design a post-processing module that fuses voxelized features and range images using a linear ReLU cross-attention mechanism. Our approach is evaluated on the unconditional generation task using the KITTI-360 and nuScenes datasets, achieving the state-of-the-art results in LiDAR scene's generation quality. Furthermore, by incorporating semantic labels and camera views into the latent space, in addition to enhancing the model's semantic understanding capability for LiDAR scenes, our method also demonstrates additional performance improvements compared to previous works in terms of LiDAR scene's visual quality. The code implementation has been released on https://***/HITysx/LiDAR-Scene-Generation. © 2025 Elsevier Ltd

关键词： Photointerpretation

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Lightweight design and deployment of object detection model for low-light scenes 4

Lightweight design and deployment of object detection model ...

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4th International Conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Sun, Kangjian Huo, Ju Jiang, Xiaona Gao, Yichao Cai, Chen School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China National Key Laboratory of Modeling and Simulation for Complex Systems Harbin China China FAW Corporation Limited Changchun China College of Design and Engineering National University of Singapore Singapore Signal and Communication Research Institute China Academy of Railway Sciences Beijing China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Low-light scenes are common in fields such as autonomous driving, which tests the robustness of intelligent systems. This paper tests the performance of object detection in low-light scenes based on the YOLOv8n model. In order to solve the constraint of limited computing power of embedded devices, the YOLOv8n model is adjusted through model pruning and knowledge distillation. The complexity of the model is reduced through these lightweight operations. While ensuring the detection performance as much as possible, the multiply-accumulate operations (MACs) and parameters of the model decreased by about 40% and 27% respectively. The proposed model is evaluated on the Exclusively Dark (ExDARK) dataset and achieves a mean average precision (mAP) value of 0.672. In addition, the proposed model is migrated to the embedded platform NVIDIA Jetson Xavier NX. The deployment process is optimized by multi-process scheduling and multi-thread scheduling. Experiments are also conducted on real data, and the results show that the proposed model can provide a feasible solution for vision-based nighttime autonomous driving. © 2025 SPIE.

关键词： Object detection Deep learning Image processing

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Smart Materials for Energy Efficiency: A Decade of Bibliometric Insights (2014-2024)

Smart Materials for Energy Efficiency: A Decade of Bibliomet...

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Innovative Research in Applied Science, Engineering and Technology (IRASET),Conference on

作者： Hanane Boutraih Abdellah Zamma Naoual Belouaggadia Laboratory of Modeling and Simulation of Intelligent Industrial Systems (M2S2I) ENSET University Hassan II of Casablanca Morocco Laboratory of Modeling and Simulation of Intelligent Industrial Systems (M2S2I) ENSET Hassan II University Mohammedia Morocco Builders Lab Builders École d’ingénieurs COMUE Normandie Université Epron France

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

Nowadays, Smart Materials and Energy Efficiency are among the most current subjects. For this reason, this article seeks to study the relationship between these two topics through a bibliometric analysis using Scopus and VOSviewer over the last decade (from 2014 to 2024). Based on these tools, 300 researchers wrote 370 published papers from 227 sources that were listed in Scopus. This study presented cumulative data on the number of publications per year, their types, research areas, contributing countries, authors, and keywords. The results of this research are significant as they provide essential information that enhances researchers' understanding of the latest developments and trends in smart materials and energy efficiency.

关键词： Phase change materials Thermoelectric materials Intelligent materials Bibliometrics Market research Three-dimensional printing Energy efficiency Energy harvesting Waste heat Smart materials

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Smart Materials Unveiled: From Fundamentals to AI-Driven Innovations

Smart Materials Unveiled: From Fundamentals to AI-Driven Inn...

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Innovative Research in Applied Science, Engineering and Technology (IRASET),Conference on

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

The development of intelligent or smart materials is crucial to meet the demand for modern materials and to solve issues related to durability, performance, cost, resource availability, and environmental impact. Due to their great potential, they can be employed in many different sectors, such as biomedical, automotive, aerospace, civil industries, and energy. These materials are diverse, including piezoelectric materials, shape-memory alloys, magnetostrictive materials, electro- and magnetorheological fluids, chromic materials, and self-healing materials. In this paper, various kinds of intelligent materials are discussed, along with their benefits, limitations, potential uses, and the important role artificial intelligence has played in the progress of smart material research.

关键词： Technological innovation Electric potential Magnetostriction Intelligent materials Piezoelectric materials Metals Magnetic liquids Artificial intelligence Sustainable development Smart materials

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Impact of thermal-oxidative ageing on high-density polyethylene pipes: Analysis and prediction of service life

Impact of thermal-oxidative ageing on high-density polyethyl...

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Innovative Research in Applied Science, Engineering and Technology (IRASET),Conference on

作者： Ihssan Srii Abdellah Zamma Naoual Belouaggadia Laboratory of Modeling and Simulation of Intelligent Industriel Systems M2S2I Higher Normal School of Technical Education Mohammedia (ENSETM) University of Hassan II Casablanca Mohammedia Morocco Laboratory of Modeling and Simulation of Intelligent Industriel Systems M2S2I Higher Normal School of Technical Education Mohammedia (ENSETM) University of Hassan II Casablanca Builders LA Builders Engineering School Comue University of Normandy Epron France

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

High-density polyethylene (HDPE) is increasingly used in the manufacture of culverts and drainage pipes because of its many advantages. The question of the longevity of HDPE pipes made from recycled resins compared with those made from virgin resins has aroused growing interest in the scientific community. Several recent studies have confirmed the high durability of HDPE, estimating its lifespan at over 100 years. However, external factors, such as environmental conditions and operating constraints, can influence this longevity. However, its oxidative thermal ageing is crucial to its durability. This study investigates the effects of thermo-oxidative ageing on the mechanical and physico- chemical properties of PE, highlighting the degradation mechanisms induced by prolonged exposure to high temperatures and oxygen. A method combining experimental tests and predictive modelling was developed to assess the lifetime of the materials. The Arrhenius model was used to estimate degradation kinetics and predict PE lifetime as a function of ageing conditions.

关键词： Degradation Polyethylene Temperature Thermal engineering Predictive models Mechanical factors Thermal analysis Resins Chemicals Thermal degradation

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